Hafiz Jamil | Cyber Threat | Best Researcher Award

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Dr. Hafiz Jamil | Cyber Threat | Best Researcher Award

Data Scientist at Home, United States

Dr. Hafiz Jamil is a highly accomplished researcher and engineer specializing in Electronic Engineering with a focus on Data Science, AI-driven Intelligent Systems, IoT, and Renewable Energy Solutions. With over nine years of experience, he has led numerous national and international projects, successfully developing advanced energy management systems that incorporate blockchain and AI technologies. Dr. Jamil has a proven track record in optimizing real-time data analytics, enhancing operational efficiency, and driving sustainability in energy systems. He holds a Ph.D. in Electronic Engineering, along with a Master’s in Electrical Engineering and a Bachelor’s in Electronic Engineering. Additionally, he has received multiple awards for his research excellence and is a published author in prestigious scientific journals.

Profile:

Education:

Dr. Hafiz Jamil holds a Doctor of Philosophy (Ph.D.) in Electronic Engineering, specializing in advanced energy management solutions, IoT, and intelligent systems. He also earned a Master of Science (M.Sc.) in Electrical Engineering, where he focused on integrating AI and blockchain technologies into energy systems. His academic journey began with a Bachelor of Science (B.Sc.) in Electronic Engineering. In addition to his formal degrees, Dr. Jamil has pursued specialized certifications in fields such as Advanced Machine Learning, Blockchain for Energy, Python for Data Science, MATLAB for Engineers, and IoT System Architecture.

Professional Experience:

Dr. Hafiz Jamil possesses extensive professional experience in the fields of Electronic Engineering, Data Science, and Renewable Energy Solutions. Currently serving as a Research and Development Engineer at KETEP’s Big Data Research Center in South Korea, he has spearheaded the integration of big data analytics and IoT systems, significantly enhancing operational efficiency by reducing latency and downtime. His key accomplishments include developing advanced energy management solutions that incorporate blockchain and AI technologies, resulting in a 25% improvement in operational reliability. Previously, Dr. Jamil worked as a Consultant in Project Portfolio Management at CSU Science and Technology Park in China, where he optimized human activity recognition systems and enhanced energy efficiency in electric vehicles. Earlier in his career, he served as a Data Engineer in Power Systems in Pakistan, where he led automation projects and mentored teams to improve project success rates. His work is characterized by a strong commitment to innovation, collaboration with industry leaders, and a focus on sustainability in energy management.

Research Interests:

Dr. Hafiz Jamil’s research interests lie at the intersection of Electronic Engineering, Data Science, and Renewable Energy Solutions. He is particularly focused on developing AI-driven intelligent systems and Internet of Things (IoT) applications that enhance energy management and sustainability. His work encompasses advanced data analytics and machine learning, aiming to optimize real-time data processing and improve system performance in energy systems. Dr. Jamil has a keen interest in integrating blockchain technology for enhanced transparency and security in energy transactions. His research also includes the exploration of digital twin technology for optimizing renewable energy use and reducing peak loads in energy systems. Additionally, he is dedicated to advancing federated learning and smart grid technologies to promote energy efficiency and resource management in modern energy infrastructures.

Skills:

Dr. Hafiz Jamil possesses a diverse skill set that encompasses various domains within Electronic Engineering and Data Science. He is highly proficient in developing and implementing machine learning models, data analytics, and AI-driven intelligent systems, with expertise in programming languages such as Python, MATLAB, and C++. Dr. Jamil has a strong command of advanced technologies, including blockchain integration for energy systems and IoT development for smart grids. His technical capabilities extend to real-time monitoring and predictive optimization, allowing him to enhance operational efficiency in energy management solutions. Additionally, he excels in project management and cross-functional collaboration, demonstrating leadership in guiding teams through complex technological challenges. Dr. Jamil’s skills in automation, data governance, and scalable model deployment further contribute to his ability to drive innovation and improve system performance across various projects in the field.

Conclusion:

Given Dr. Hafiz Jamil’s impressive track record in research, innovation, and practical application in fields such as AI, IoT, and renewable energy systems, he is highly suitable for the Best Researcher Award. His research contributions, technical leadership, and groundbreaking work in enhancing energy efficiency make him an outstanding candidate for this recognition.

Publication Top Noted:

An Optimized Ensemble Prediction Model Using AutoML Based on Soft Voting Classifier for Network Intrusion Detection

  • Journal: Journal of Network and Computer Applications
  • Cited By: 58
  • Year: 2023
  • Contributors: M.A. Khan, N. Iqbal, H. Jamil, D.H. Kim

PetroBlock: A Blockchain-Based Payment Mechanism for Fueling Smart Vehicles

  • Journal: Applied Sciences
  • Cited By: 52
  • Year: 2021
  • Contributors: F. Jamil, O. Cheikhrouhou, H. Jamil, A. Koubaa, A. Derhab, M.A. Ferrag

An Efficient Dynamic-Decision Based Task Scheduler for Task Offloading Optimization and Energy Management in Mobile Cloud Computing

  • Journal: Sensors
  • Cited By: 48
  • Year: 2021
  • Contributors: A. Ali, M.M. Iqbal, H. Jamil, F. Qayyum, S. Jabbar, O. Cheikhrouhou, M. Baz, et al.

Optimal Scheduling of Campus Microgrid Considering the Electric Vehicle Integration in Smart Grid

  • Journal: Sensors
  • Cited By: 45
  • Year: 2021
  • Contributors: T. Nasir, S. Raza, M. Abrar, H.A. Muqeet, H. Jamil, F. Qayyum, et al.

EEG-Based Neonatal Sleep Stage Classification Using Ensemble Learning

  • Journal: Computers, Materials & Continua
  • Cited By: 37
  • Year: 2022
  • Contributors: S.F. Abbasi, H. Jamil, W. Chen

Meray Medhat Shokry Zaghary | Cybersecurity Risk Assessment | Best Researcher Award

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Assoc Prof Dr. Meray Medhat Shokry Zaghary | Cybersecurity Risk Assessment | Best Researcher Award

Associate professor of clinical toxicology at Sohag University, Egypt

Summary:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary is an accomplished academic and medical professional specializing in clinical toxicology. Currently serving as a lecturer and consultant at Sohag University’s Faculty of Medicine in Egypt, she holds a Bachelor’s degree in Medicine and Surgery, a Master’s degree in Clinical Toxicology, and a Doctorate degree in Medicine with a focus on Clinical Toxicology. Dr. Zaghary is actively involved in research, training junior doctors, and organizing educational webinars and conferences in her field. Her expertise includes biostatistics, scientific writing, and the management of clinical toxicology cases.

Profile:

Education:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary pursued her academic journey at Sohag University, Egypt, where she achieved significant milestones in medicine and clinical toxicology. She obtained her Bachelor’s degree in Medicine and Surgery from the Faculty of Medicine at Sohag University in November 2011. Building upon this foundation, she completed a Master’s degree in Clinical Toxicology in June 2016. Driven by her passion for advancing her expertise, she went on to earn a Doctorate degree in Medicine with a specialization in Clinical Toxicology in January 2021. Her dedication to continuous professional development is evident through her additional diplomas, including Addiction and Psychological Health from the Freedom and Addiction Program in January 2019, Certified Biostatistics from MARS Global in R Program Statistics from January to August 2023, and Scientific Writing, International Publishing, and Statistical Analysis using SPSS Program Version 26 from Future Scientific Platform.

Professional Experience:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary has an extensive background in clinical toxicology, currently serving as a lecturer and Consultant in clinical toxicology at Sohag University, Faculty of Medicine since March 2021. In this role, she oversees critical care management, provides expert consultation, and conducts courses on first aid management. Prior to her current position, from August 2016 to March 2021, she worked as an Assistant Lecturer of clinical toxicology at Sohag University. During this period, she conducted numerous educational rounds and published two papers in 2020 related to her doctoral research on cardiac enzymes and ECG predictors of mortality in acute toxicity. Dr. Zaghary also holds a Master’s degree in clinical toxicology from Sohag University, where she served as a Demonstrator from April 2013 to August 2016, conducting clinical toxicological rounds and contributing to conferences and workshops in the field. Her professional journey includes certifications in digital transformation, preparing teachers, anticorruption, accreditation standards, statistical analysis in clinical research, and various scientific writing and research workshops.

Research Interest:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary’s research interests focus on various aspects of clinical toxicology, particularly in critical care management and the prediction of mortality in acute toxicity cases using cardiac enzymes and ECG. Her expertise also extends to drug abuse among university students, where she has published significant studies. Dr. Zaghary is actively involved in exploring advancements in toxicology treatment protocols, including workshops on Cardiopulmonary Resuscitation, Disaster and Crisis Management, and the application of SPSS in statistical analysis for clinical research. Her research endeavors aim to enhance understanding and improve outcomes in toxicology through rigorous scientific inquiry and practical applications.

Professional Skills:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary is an accomplished clinical toxicologist and experienced physician with a strong academic and professional background. She has successfully managed and treated a wide range of clinical toxicology cases, leveraging her extensive expertise and training. Dr. Zaghary is adept in biostatistics, proficiently using SPSS and R programs for advanced statistical analysis in clinical research. She plays a pivotal role as the administrator of the “Toxo Clinic” Telegram group, offering valuable consultations and referrals during the COVID-19 pandemic. Additionally, Dr. Zaghary is committed to medical education, where she excels as a trainer, imparting essential skills in first care management to junior doctors.

Awards and Honors:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary was awarded the Guild shield by the Doctors Syndicate in Sohag, Egypt, in recognition of her exceptional contributions to training junior doctors in the first care management of clinical toxicology cases. This prestigious honor was conferred on 29th March 2023, acknowledging her dedication and expertise in the field of clinical toxicology.

 

Publications:

 

Study of Drug Abuse among University Students in Sohag, Egypt

  • Authors: RAR Meray MS1, Ahmed FH2
  • Journal: Journal of Forensic, Toxicology and Medicolegal Analysis
  • Year: 2016
  • Volume: 1
  • Issue: 2
  • Pages: 19-23
  • Citations: 14

Validity of Vital Signs, Coma Scales and Modified APACHE Score in Prediction of Prognosis and Outcome of Acutely Poisoned Patients

  • Authors: MMS Zaghary, RA Radwan, RM Elsayed
  • Journal: The Egyptian Journal of Hospital Medicine
  • Year: 2021
  • Volume: 85
  • Issue: 1
  • Pages: 2758-2766
  • Citations: 7

Predictive Role of Cardiac Troponin I, Creatine Kinase-MB and Electrocardiogram in Early Assessment of Acute Cardiotoxicity in Patients Poisoned by Cardiotoxic Drugs and Toxins

  • Authors: MA Hilal, SED Mahmoud, MM Shokry, AM Said
  • Journal: Cardiology and Angiology: An International Journal
  • Year: 2020
  • Volume: 9
  • Issue: 3
  • Pages: 18-30
  • Citations: 4

Pattern and Outcome of Acute Aluminium Phosphide Intoxicated Cases at Sohag University Hospitals: Special Consideration to Paraffin Oil as a Supportive Treatment

  • Authors: M Abdelkader, RM Elsayed, MM Shokry
  • Journal: Zagazig Journal of Forensic Medicine
  • Year: 2023
  • Volume: 21
  • Issue: 1
  • Pages: 133-156
  • Citations: 2

Patterns and Outcomes of Acute Toxicological Cases Before, During, and After COVID-19 Lockdown in Sohag University Hospitals, Egypt

  • Authors: MM Shokry Zaghary, MM Abd ElKader, REA Mousa, AM Said
  • Journal: Toxicology Research
  • Year: 2024
  • Volume: 13
  • Issue: 2
  • Article: tfae061
  • Citations: 1

Predicting Outcome in Acute Cardiotoxicity Based on Glasgow Coma Scale (GCS) and Modified APACHE II Score (MAS)

  • Authors: M Shokry, M Hilal, S Abdalla, A Said
  • Journal: Ain Shams Journal of Forensic Medicine and Clinical Toxicology
  • Year: 2020
  • Volume: 35
  • Issue: 2
  • Pages: 39-48
  • Citations: 1

A Clinical Study and Laboratory Evaluation of the Cardiac and Hepatic Toxic Effects of Paraphenylenediamine

  • Authors: MM Abd ElKader, PA Mohamed Ismail, MA Abd El Ati, …
  • Journal: Clinical Toxicology
  • Year: 2024
  • Pages: 1-10

Case-Control Study of Intestinal Parasitic Infection in Hemodialysis Patients in Sohag Governorate

  • Authors: MR GabAllah, MMS Zaghary
  • Journal: The Egyptian Journal of Hospital Medicine
  • Year: 2023
  • Volume: 90
  • Issue: 2
  • Pages: 2245-2248

Toxicity and Complications of Long Term Use of Methotrexate in Sohag University Hospital: A Retrospective, Record Based Epidemiological Study

  • Authors: AM Said, AR Alagamy, MM Shokry
  • Journal: The Egyptian Journal of Hospital Medicine
  • Year: 2022
  • Volume: 89
  • Issue: 2
  • Pages: 6702-6706

Kratom Abuse as an Emerging Issue of Addiction, Overdose Toxicities and Deaths: A Review

  • Authors: M Zaghary
  • Journal: Ain Shams Journal of Forensic Medicine and Clinical Toxicology
  • Year: 2022
  • Volume: 39
  • Issue: 2
  • Pages: 39-47

Predictive Role of Cardiac Troponin I, Creatine Kinase-MB and Electrocardiogram in Early Assessment of Acute Cardiotoxicity in Patients Poisoned by Cardiotoxic Drugs and Toxins

  • Authors: MM Shokry
  • Institution: Sohag University
  • Year: 2018